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Conflicts between intuitive and analytic results 51<br />

while the aggregate value of benefits for Q will be:<br />

(40 × 100) + (60 × 0) = 4000, i.e. 40 after dividing by 100<br />

This clearly suggests that the decision maker should choose office P.<br />

However, it may be that he considers image only to be of value if the office<br />

is highly visible. Office P’s good image is, he thinks, virtually worthless<br />

because it is not on a highly visible location and he might therefore<br />

prefer office Q. Thus, if image is not preference independent of visibility,<br />

the additive model will not correctly represent the owner’s preferences.<br />

How can the absence of mutual preference independence be identified?<br />

The most obvious way in which this will reveal itself is in the use of<br />

phrases like ‘this depends on ...’ when the decision maker responds to<br />

questions. For example, when asked to assign a value to the ‘image’ of<br />

an office, our decision maker might well have said ‘that depends on how<br />

visible the office is’.<br />

If mutual preference independence does not exist it is usually possible<br />

to return to the value tree and redefine the attributes so that a set of<br />

attributes which are mutually preference independent can be identified.<br />

For example, perhaps visibility and image could be replaced by a single<br />

attribute ‘ability to attract casual customers’.<br />

In the occasional problems where this is not possible, other models<br />

are available which can handle the interaction between the attributes.<br />

The most well known of these is the multiplicative model. Consider<br />

again the case of the house purchase decision where the quality of the<br />

architecture and attractiveness of the garden complemented each other.<br />

If we let V(A) = the value of the architecture of a given house and<br />

V(G) = a value for the attractiveness of the garden then we might find<br />

that the following represented the overall value of the house:<br />

Value = 0.6V(A) + 0.3V(G) + 0.1V(A)V(G)<br />

The numbers in the above expression represent the weights (note that<br />

they sum to 1) and the last expression, which involves multiplying<br />

the values together, represents the interaction between architecture and<br />

garden. Because the multiplicative model is not widely used we will not<br />

consider it in detail. Longer discussions can be found in Bodily 12 and<br />

von Winterfeldt and Edwards. 10<br />

Conflicts between intuitive and analytic results<br />

It may be that, if the decision maker had viewed the problem holistically,<br />

then he would have ranked his preferences for the offices in a very

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